About The World of Analytics
Thoughts & Posts on Data, Analytics & AI
Thoughts & Posts on Data, Analytics & AI
Thoughts & Posts on Data, Analytics & AI
This is my current thinking on technology, change, and adoption of AI.
Writing, Speaking, Presenting
Thoughts & Posts on Data, Analytics & AI
Thoughts & Posts on Data, Analytics & AI
I have written 5 books on AI, data, and analytics teams. I teach at the University of Michigan, and I keynote conferences and talk about AI on a global basis.
Innovations
Thoughts & Posts on Data, Analytics & AI
Innovations
I am passionate about analytics and how we can evolve related technologies, markets and solutions.
Books
The Path to AGI
Explore the history, current state, and path forward for all three fundamental areas of Artificial Intelligence (AI): Foundational AI, Generative AI, and Causal AI.
When most people talk about AI, they are talking about Generative AI (GenAI). GenAI is useful and valuable and will drive significant value, but the field of AI is much more than GenAI. AI has been under active development for over 70 years. Read all about the nuances and differences in each of the three areas of AI.
As AI moves towards larger and more comprehensive applications and solutions, we will see an evolution of all three areas of AI, and, at the same time, we will see a convergence of the three areas toward Composite AI.
Composite AI will be the state of the art for many years and possibly even decades. Composite AI will grow and evolve into Artificial General Intelligence (AGI). While AGI is an exciting theme for science fiction movies, it will not arrive in the next few years. The path to AGI will be long and challenging. We discuss the pragmatic and practical path in detail.
Business leaders and technologists need to understand where AI is moving. We will outline one of the most probable paths unfolding over the next few decades as we move toward AI being embedded in all systems and operations. AI will become a utility like electricity and water, but we have a long road of sophisticated development to navigate before we arrive at that point.
The Path to AGI is a reference book and guide for those interested in all types of AI and how these types will merge, integrate, and evolve into one of the most consequential technologies the world has ever seen.
Building Analytics Teams - Harnessing Analytics and AI for business improvement
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI
Key Features
Learn to create an operationally effective advanced analytics team in a corporate environment
Select and undertake projects that have a high probability of success and deliver the improved top and bottom-line results
Understand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your team
Book Description
In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.
The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.
The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.
By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.
Causal AI - The Next Step in Effective Business AI
Discover the next major revolution in data science and AI and how it applies to your organization
In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.
Useful for both data scientists and business-side professionals, the book offers:
- Clear and compelling descriptions of the concept of causality and how it can benefit your organization
- Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems
- Useful strategies for deciding when to use correlation-based approaches and when to use causal inference
An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.
Data for All - A handbook on how to understand the lifecycle of your data
Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it.
Data for All empowers everyone—from tech experts to the general public—to control how third parties use personal data. Read this eye-opening book to learn:
- The types of data you generate with every action, every day
- Where your data is stored, who controls it, and how much money they make from it
- How you can manage access and monetization of your own data
- Restricting data access to only companies and organizations you want to support
- The history of how we think about data, and why that is changing
- The new data ecosystem being built right now for your benefit
The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.
Analytics - How to Win with Intelligence
Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership.
Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy.
Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? That's the objective of this book - to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.